Bipartite consensus of nonlinear agents in the presence of communication noise

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dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2022-03-25T15:54:19Z
dc.date.available2022-03-25T15:54:19Z
dc.date.issued2022-03-18
dc.description.abstractIn this paper, a Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is designed to achieve the bipartite consensus of nonlinear agents over a signed graph. DNDI inherits the advantage of nonlinear dynamic inversion theory, and the application to the bipartite problem is a new idea. Moreover, communication noise is considered to make the scenario more realistic. The convergence study provides a solid theoretical base, and a realistic simulation study shows the effectiveness of the proposed protocol.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): EP/R009953/1en_UK
dc.identifier.citationSabyasachi M, Tsourdos A. (2022) Bipartite consensus of nonlinear agents in the presence of communication noise, Sensors, Volume 22, Issue 6, March 2022, Article number 2357en_UK
dc.identifier.issn1424-8220
dc.identifier.urihttps://doi.org/10.3390/s22062357
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17689
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectbipartite consensusen_UK
dc.subjectDistributed Nonlinear Dynamic Inversionen_UK
dc.subjectcommunication noiseen_UK
dc.subjectsigned graphen_UK
dc.titleBipartite consensus of nonlinear agents in the presence of communication noiseen_UK
dc.typeArticleen_UK

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